Sciweavers

297 search results - page 29 / 60
» On the Linear Quadratic Minimum-fuel Problem
Sort
View
ICML
2006
IEEE
14 years 8 months ago
Learning low-rank kernel matrices
Kernel learning plays an important role in many machine learning tasks. However, algorithms for learning a kernel matrix often scale poorly, with running times that are cubic in t...
Brian Kulis, Inderjit S. Dhillon, Máty&aacu...
NECO
2007
95views more  NECO 2007»
13 years 7 months ago
Support Vector Ordinal Regression
In this paper, we propose two new support vector approaches for ordinal regression, which optimize multiple thresholds to define parallel discriminant hyperplanes for the ordinal...
Wei Chu, S. Sathiya Keerthi
IWPEC
2010
Springer
13 years 5 months ago
Partial Kernelization for Rank Aggregation: Theory and Experiments
RANK AGGREGATION is important in many areas ranging from web search over databases to bioinformatics. The underlying decision problem KEMENY SCORE is NP-complete even in case of fo...
Nadja Betzler, Robert Bredereck, Rolf Niedermeier
HYBRID
2011
Springer
12 years 7 months ago
Resource constrained LQR control under fast sampling
We investigate a state feedback Linear Quadratic Regulation problem with a constraint on the number of actuation signals that can be updated simultaneously. Such a constraint aris...
Jerome Le Ny, Eric Feron, George J. Pappas
COR
2007
108views more  COR 2007»
13 years 7 months ago
A hub location problem with fully interconnected backbone and access networks
This paper considers the design of two-layered fully interconnected networks.A two-layered network consists of clusters of nodes, each defining an access network and a backbone n...
Tommy Thomadsen, Jesper Larsen